Unihertz Titan 2
Geekbench AI Score
495
Single Precision Score
766
Half Precision Score
595
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | November 11 2025 08:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Unihertz Titan 2 |
| Model ID | Unihertz Titan 2 |
| Motherboard | G71BoardV1 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
97% |
302
56.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
867
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2240
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4000
4.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
3931
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
99% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
83% |
350
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (Q)
|
96% |
1385
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1356
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2225
17.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1750
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3700
4.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6955
8.94 IPS |
|
|
Style Transfer (Q)
|
98% |
6497
8.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1063
39.4 IPS |
|
|
Text Classification (SP)
|
35% |
11
103.1 IPS |
|
|
Text Classification (HP)
|
29% |
7
120.8 IPS |
|
|
Text Classification (Q)
|
32% |
9
118.6 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
43% |
103
5.96 IPS |
